How do deep neural networks serve as function approximators in deep reinforcement learning, and what are the benefits and challenges associated with using deep learning techniques in high-dimensional state spaces?
Tuesday, 11 June 2024
by EITCA Academy
Deep neural networks (DNNs) have revolutionized the field of reinforcement learning (RL) by serving as powerful function approximators. This capability is particularly vital in high-dimensional state spaces where traditional tabular methods become infeasible. To understand the role of DNNs in deep reinforcement learning (DRL), it is essential to delve into the mechanics of function approximation,